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    Analysis of C-2C DAC Mismatch Effects in SAR ADCs

    , M.Sc. Thesis Sharif University of Technology Ghazizadeh Ghalati, Ali (Author) ; Sharif Khani, Mohammad (Supervisor)
    Abstract
    Analog to digital converters is one of the main building blocks of today's circuits. These circuits play an important role in signal processing. Since these circuits consist of analog and digital sections, a large percentage of the power consumed in a circuit is allocated to this section. Therefore, in applications such as medical devices, wearable applications and wireless technology where power control is very important and necessary, reducing the power of analog to digital converters is very important. One of the simplest analog-to-digital converters from the design point of view is Successive Approximation Register (SAR) analog-to-digital converters. This type of analog-to-digital... 

    Imbalanced Graph Node Classification

    , M.Sc. Thesis Sharif University of Technology Teimuri Jervakani, Mohammad Taha (Author) ; Rabiee, Hamid Reza (Supervisor) ; Rohban, Mohammad Hossein (Co-Supervisor)
    Abstract
    One of the major challenges in artificial intelligence is the presence of imbalanced data. Imbalanced data occurs when the number of samples in some classes is significantly lower than in others. This imbalance can lead to bias in machine learning models, as models tend to learn better and more accurately from classes with more samples. As a result, they may perform poorly when classifying samples from minority classes. This issue becomes particularly important when minority classes play a critical role in sensitive applications such as healthcare or security. In these cases, it is essential to pay close and fair attention to the minority classes to avoid unjust outcomes. In recent years,...